| Online incremental machine learning platform for big data-driven smart traffic management D Nallaperuma, R Nawaratne, T Bandaragoda, A Adikari, S Nguyen, ... IEEE Transactions on Intelligent Transportation Systems 20 (12), 4679-4690, 2019 | 255 | 2019 |
| Cancer in lockdown: impact of the COVID‐19 pandemic on patients with cancer H Moraliyage, D De Silva, W Ranasinghe, A Adikari, D Alahakoon, ... The oncologist 26 (2), e342-e344, 2021 | 122 | 2021 |
| Machine learning to support social media empowered patients in cancer care and cancer treatment decisions D De Silva, W Ranasinghe, T Bandaragoda, A Adikari, N Mills, ... PloS one 13 (10), e0205855, 2018 | 82 | 2018 |
| Finding the intersection of neuroplasticity, stroke recovery, and learning: scope and contributions to stroke rehabilitation L Carey, A Walsh, A Adikari, P Goodin, D Alahakoon, D De Silva, KL Ong, ... Neural plasticity 2019, 2019 | 66 | 2019 |
| What is autistic burnout? A thematic analysis of posts on two online platforms J Mantzalas, AL Richdale, A Adikari, J Lowe, C Dissanayake Autism in Adulthood 4 (1), 52-65, 2022 | 65 | 2022 |
| Value co-creation for open innovation: An evidence-based study of the data driven paradigm of social media using machine learning. A Adikari, D Burnett, D Sedera, D De Silva, D Alahakoon International Journal of Information Management Data Insights 1 (2), 100022, 2021 | 64 | 2021 |
| Emotions of COVID-19: content analysis of self-reported information using artificial intelligence A Adikari, R Nawaratne, D De Silva, S Ranasinghe, O Alahakoon, ... Journal of medical Internet research 23 (4), e27341, 2021 | 40 | 2021 |
| A self structuring artificial intelligence framework for deep emotions modeling and analysis on the social web A Adikari, G Gamage, D De Silva, N Mills, SMJ Wong, D Alahakoon Future Generation Computer Systems 116, 302-315, 2021 | 35 | 2021 |
| Artificial intelligence based commuter behaviour profiling framework using Internet of things for real-time decision-making T Bandaragoda, A Adikari, R Nawaratne, D Nallaperuma, AK Luhach, ... Neural Computing and Applications 32, 16057-16071, 2020 | 31 | 2020 |
| Empathic conversational agents for real-time monitoring and co-facilitation of patient-centered healthcare A Adikari, D De Silva, H Moraliyage, D Alahakoon, J Wong, M Gancarz, ... Future Generation Computer Systems 126, 318-329, 2022 | 30 | 2022 |
| A cognitive model for emotion awareness in industrial Chatbots A Adikari, D De Silva, D Alahakoon, X Yu 2019 IEEE 17th international conference on industrial informatics (INDIN) 1 …, 2019 | 30 | 2019 |
| Understanding citizens’ emotional pulse in a smart city using artificial intelligence A Adikari, D Alahakoon IEEE Transactions on Industrial Informatics 17 (4), 2743-2751, 2020 | 28 | 2020 |
| Incremental knowledge acquisition and self-learning for autonomous video surveillance R Nawaratne, T Bandaragoda, A Adikari, D Alahakoon, D De Silva, X Yu IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society …, 2017 | 27 | 2017 |
| Can online support groups address psychological morbidity of cancer patients? An artificial intelligence based investigation of prostate cancer trajectories A Adikari, D De Silva, WKB Ranasinghe, T Bandaragoda, O Alahakoon, ... Plos one 15 (3), e0229361, 2020 | 23 | 2020 |
| The Patient-Reported Information Multidimensional Exploration (PRIME) framework for investigating emotions and other factors of prostate cancer patients with low intermediate … T Bandaragoda, W Ranasinghe, A Adikari, D de Silva, N Lawrentschuk, ... Annals of surgical oncology 25, 1737-1745, 2018 | 22 | 2018 |
| Discovering the influence of sarcasm in social media responses W Peng, A Adikari, D Alahakoon, J Gero Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 9 (6 …, 2019 | 18 | 2019 |
| Robotic-assisted vs. open radical prostatectomy: A machine learning framework for intelligent analysis of patient-reported outcomes from online cancer support groups W Ranasinghe, D de Silva, T Bandaragoda, A Adikari, D Alahakoon, ... Urologic Oncology: Seminars and Original Investigations 36 (12), 529. e1-529. e9, 2018 | 18 | 2018 |
| Natural language processing–based virtual cofacilitator for online cancer support groups: protocol for an algorithm development and validation study YW Leung, E Wouterloot, A Adikari, G Hirst, D De Silva, J Wong, ... JMIR research protocols 10 (1), e21453, 2021 | 13 | 2021 |
| Recurrent self-structuring machine learning for video processing using multi-stream hierarchical growing self-organizing maps R Nawaratne, A Adikari, D Alahakoon, D De Silva, N Chilamkurti Multimedia Tools and Applications 79, 16299-16317, 2020 | 7 | 2020 |
| Providing Care Beyond Therapy Sessions With a Natural Language Processing–Based Recommender System That Identifies Cancer Patients Who Experience Psychosocial Challenges and … YW Leung, B Park, R Heo, A Adikari, S Chackochan, J Wong, E Alie, ... JMIR cancer 8 (3), e35893, 2022 | 6 | 2022 |
Damminda AlahakoonProfessor, La Trobe UniversityAdresse e-mail validée de latrobe.edu.au
